An approach to model multitemporal knowledge in automatic classification process of remote sensors images

Revista Brasileira de Cartografia

关键词: remote sensing;    knowledge based interpretation;    multitemporal knowledge;    digital image processing.;   

DOI  :  

来源: DOAJ

【 摘 要 】

The present work proposes a methodology to model multitemporal knowledge within an automatic image interpretation framework. The method uses state transition diagrams to express the possibilities of class changes within a given time span. The change possibilities are estimated upon data of the same region acquired at a previous date by using genetic algorithms. Classification results obtained from multitemporal reasoning are combined to pure spectral classification by using fuzzy logic techniques. The proposed approach was evaluated using LANDSAT 7 images of three consecutive years of an area in southwest Brazil showing encouraging results. The multitemporal knowledge always improved the classification performance in comparison to a pure spectral classification. In addition, the genetic algorithm was in all cases superior to the manual trial and error alternative for the parameter estimation of the multitemporal model.

【 授权许可】

Unknown